• Energy Research

Abstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to energy system modelling, causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Malaysia, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

Abstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Ethiopia, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

Abstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Sudan, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

Abstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. This article therefore provides data that can be used to create a simple zero order energy system model for Angola, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

Abstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. This article therefore provides data that can be used to create a simple zero order energy system model for Lesotho, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

Abstract Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Central African Republic, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

Au cours des dernières décennies, la modélisation énergétique a soutenu la planification énergétique en offrant un aperçu de la dynamique entre l'accès à l'énergie, l'utilisation des ressources et le développement durable. En particulier ces dernières années, on a tenté de renforcer l'interface science-politique et d'accroître l'implication de la société dans les processus de planification énergétique. Cela a conduit, à la fois dans l'UE et dans le monde, au développement de pratiques de modélisation énergétique open source et transparentes. Cet article décrit le rôle d'un outil de modélisation énergétique open source dans le processus de planification énergétique et souligne son importance pour la société. Plus précisément, il décrit l'existence et les caractéristiques de la relation entre le développement d'un outil open source et librement disponible et son application, sa diffusion et son utilisation pour l'élaboration de politiques. En utilisant l'exemple du système de modélisation énergétique Open Source (OSeMOSYS), ce travail se concentre sur les pratiques qui ont été établies au sein de la communauté et qui ont rendu le développement et l'application du cadre à la fois pertinents et scientifiquement fondés. En las últimas décadas, la modelización energética ha apoyado la planificación energética al ofrecer información sobre la dinámica entre el acceso a la energía, el uso de recursos y el desarrollo sostenible. Especialmente en los últimos años, se ha intentado fortalecer la interfaz ciencia-política y aumentar la participación de la sociedad en los procesos de planificación energética. Esto ha llevado, tanto en la UE como en todo el mundo, al desarrollo de prácticas de modelado energético de código abierto y transparentes. Este documento describe el papel de una herramienta de modelado energético de código abierto en el proceso de planificación energética y destaca su importancia para la sociedad. Específicamente, describe la existencia y las características de la relación entre el desarrollo de una herramienta de código abierto y de libre acceso y su aplicación, difusión y uso para la formulación de políticas. Utilizando el ejemplo del Sistema de Modelado de Energía de Código Abierto (OSeMOSYS), este trabajo se centra en las prácticas que se establecieron dentro de la comunidad y que hicieron que el desarrollo y la aplicación del marco fueran relevantes y científicamente fundamentados. In the last decades, energy modelling has supported energy planning by offering insights into the dynamics between energy access, resource use, and sustainable development. Especially in recent years, there has been an attempt to strengthen the science-policy interface and increase the involvement of society in energy planning processes. This has, both in the EU and worldwide, led to the development of open-source and transparent energy modelling practices. This paper describes the role of an open-source energy modelling tool in the energy planning process and highlights its importance for society. Specifically, it describes the existence and characteristics of the relationship between developing an open-source, freely available tool and its application, dissemination and use for policy making. Using the example of the Open Source energy Modelling System (OSeMOSYS), this work focuses on practices that were established within the community and that made the framework's development and application both relevant and scientifically grounded. في العقود الماضية، دعمت نمذجة الطاقة تخطيط الطاقة من خلال تقديم رؤى حول الديناميات بين الوصول إلى الطاقة واستخدام الموارد والتنمية المستدامة. لا سيما في السنوات الأخيرة، كانت هناك محاولة لتعزيز التفاعل بين العلوم والسياسات وزيادة مشاركة المجتمع في عمليات تخطيط الطاقة. وقد أدى ذلك، في كل من الاتحاد الأوروبي والعالم، إلى تطوير ممارسات نمذجة الطاقة المفتوحة المصدر والشفافة. تصف هذه الورقة دور أداة نمذجة الطاقة مفتوحة المصدر في عملية تخطيط الطاقة وتسلط الضوء على أهميتها للمجتمع. على وجه التحديد، يصف وجود وخصائص العلاقة بين تطوير أداة مفتوحة المصدر ومتاحة مجانًا وتطبيقها ونشرها واستخدامها في صنع السياسات. باستخدام مثال نظام نمذجة الطاقة مفتوح المصدر (OSeMOSYS)، يركز هذا العمل على الممارسات التي تم تأسيسها داخل المجتمع والتي جعلت تطوير الإطار وتطبيقه مناسبًا ومرتكزًا على أسس علمية.